交通状况对出租车运行区域的影响研究

doi:10.3976/j.issn.1002-4026.2017.05.013

Abstract

Abstract:

In view of the difficulty of finding a taxi during peak hours in large and medium cities, a quantitive method was proposed to study taxis escape from urban congestion areas by using the GPS data of taxis. Firstly, ray method was used for map matching, the road network of central urban was divided into a plurality of research areas, and the taxi GPS data were used to calculate the cumulative vehicle frequency per 5 minutes in each region; Secondly, the cumulative vehicle frequency ratio between different regions was used to describe the flow of the taxis among different regions. The results show that taxis really have the phenomenon of escaping from traffic jams during peak periods, and it is found that the time of taxis fleeing congested areas lags behind 0.5~1.0 h relative to the peak period of social vehicles. The research results have certain reference value for mastering the characteristics of taxi operation and taxi management.

Key words: escaping from congestion, cumulative vehicle frequency, GPS data of taxi

CLC Number:

U491.1⁺12

XIE Yao-xuan,LU Shou-feng,JIANG Yong-dong,TAO Li-ming. The influence of traffic states on the taxi running areas[J].SHANDONG SCIENCE, 2017, 30(5): 79-85.

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[1]	LOU Lu,SUN Hui-jun. Research on the daytoday evolution model for traffic flow based on reference point [J]. SHANDONG SCIENCE, 2018, 31(1): 65-.
[2]	ZHENG Xuan-Chuan, HAN Bao-Ming, LI De-Wei. RBF neural network based urban expressway short-term traffic flow prediction [J]. J4, 2012, 25(3): 23-28.

The influence of traffic states on the taxi running areas

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